1. Introduction
Many scientists and engineers are attempting to improve the heat transmission efficiency since it has an extensive variety of applications in the industrial sectors. Common liquids, such as ethylene glycol, kerosene, water, oil, and polymer-based solutions are used in the heat transmission processes. They have a poor heat transmission rate because of their weaker heat conductivity. To solve this deficiency, experts from several disciplines have attempted to increase the heat conductivity. One of the most effective ways to address this problem is by dispersing nanoparticles across various base fluids. HNFs (hybrid nanofluids) are composed of two or more distinct kinds of nanoparticles in a base fluid. In addition, the HNFs have a heat transmission rate that is much greater than that of general nanofluids, see [
1,
2,
3]. These HNFs may be used in a number of contexts, including in heat exchangers, engine cooling, extrusion processes, micro-manufacturing, drug delivery, energy production, etc. Ikram et al. [
4] investigated the flow of
-based
hybrid nanofluid in a microchannel. They demonstrated that HNF velocity tended to decrease as HNPVF values increased. The MHD flow of
-based
HNF past a SS was explored by Jawad et al. [
5]. They found that the SFC was upgraded when the SVF of the nanoparticles was developing. Devi and Devi [
6] elucidated the flow of hydromagnetic
HNF in water over a SS. They noticed that the larger HTG occurred in
HNF compared to the
nanofluid. Shanmugapriya et al. [
7] reported on the HMT analysis of HCNT on a wedge with activation energy. They found that the nanoparticle concentration diminished as the NPVF increased. Nayak et al. [
8] investigated the slip flow of 3D MHD HNF between parallel plates with entropy optimization. They discovered that the larger Bejan number appeared in HNF compared to the mono nanofluid. The 3D flow of radiative
HNF on a shrinking plate was reported by Wahid et al. [
9]. They ascertained that the temperature profile improved when the Cu-NPVF improved. Venkateswarlu and Satya Narayana [
10] analyzed the MHD flow of
-based
HNF through a porous SS.
Fluid flow via porous medium is a phenomena that occurs in several contexts, including petroleum production, fermentation processes, bio sensors, permeable bearings, electronic boxes, cereal storage, combustion chambers, and casting solidification. A significant amount of work has been done to simulate and study the flow of fluid into porous spaces using Darcy’s law. However, this law is inadequate for larger-velocity and high-porosity conditions. Most physical problems involve greater flow-velocity and stronger-porosity conditions. Forchheimer [
11] was able to circumvent this constraint by including a quadratic velocity component in momentum expression. The DFF of HNF on a rotating disk was explained by Haider et al. [
12]. They noticed that the larger Forchheimer number causes a reduction in SFC. The Marangoni connective flow of HNF with EG was addresses by Khan et al. [
13]. Gul et al. [
14] scrutinized the DFF of HNF over a movable thin needle. They noticed that the SFC boomed when the values of the porosity parameter were increased. Alshehri and Shah [
15] investigated the radiative DFF of HNF on a parallel SS. They discovered that the larger Forchheimer number caused the increase of HNF temperature. The DFF of HNF across a flat plate was presented by Alzahrani et al. [
16]. Sajid et al. [
17] discussed the DFF of Maxwell NF past an SS with activation energy. They applied the MATLAB bvp4c solver to solve the governing flow expression numerically. The DFF of non-Newtonian fluid over the Riga plate was inspected by Eswaramoorthi et al. [
18]. They found that the fluid speed diminishes when booming the Forchheimer number and porosity parameter.
The heat generation/imbibing processes play a major role in a wide variety of different industrial operations. Some examples are air conditioning, nuclear power plants, boilers, semiconductors, and many others. The impact of the HAG of a HNF over an SS was investigated by Masood et al. [
19]. They discovered that the heat generation parameter increases the TBL thickness. The HAG on MHD flow of HNF over an SS was addressed by Zainal et al. [
20]. They observed that the HNFT raised when the quantity of HAG parameter increased. The influence of heat production and absorption of an MHD HNF flow past a SS was discussed by Nuwairan et al. [
21]. They found that increasing the HAG parameter quantity leads to improvements in the NFT. The rotating flow of
-based
HNF with HAG was examined by Hayat et al. [
22]. They noted that the TBL thickens with a greater size of the HAG parameter. Chalavadi et al. [
23] discussed the flow of Carreau/Casson HNF past a moving needle with the HAG effect. They noticed that the HNFT rises with a higher estimation of the HAG parameter. Qayyum et al. [
24] discussed the features of HAG of an MHD flow of HNF over an SS. They noticed that the HTG decays when enhancing the HAG parameter. The HT analysis of mono and HNF flow between two parallel plates with HAG was presented by Yaseen et al. [
25]. The impact of HAG effects of the flow of CNTs over a SS was analyzed by Zaki et al. [
26]. Mishra et al. [
27] described the flow of
-based
nanofluid with HAG via a convergent/divergent channel. They found that the HTG strengthens as the heat HAG parameter is improved. The flow of an
-based
HNF with heat absorption and generation was examined by Zainal et al. [
28]. Prabakaran et al. [
29] developed a mathematical model for the flow of water-based CNTs past an SS with heat consumption/generation. They noted that the greater presence of the HAG parameter decayed the HTG.
The non-linear thermal radiative flow past a stretchable plate is essential in many physical and engineering procedures, including in combustion chambers, atomic plants, aircraft, propulsion devices, power plants, furnace designs etc. Yusuf et al. [
30] probed the radiative flow of
HNF on a SS with slip condition. They revealed that the EG number quickens when the quantity of the radiation parameter is increased. The MHD NF flow on a plate with radiation was examined by Mustafa et al. [
31]. They found that the larger temperature ratio parameter improves the thermal profile. The unsteady 3D MHD flow of HNF with radiation was illustrated by Mabood et al. [
32]. They demonstrated that raising the radiation parameter leads to increase the NFT. Kumar et al. [
33] explored the radiative flow of Williamson fluid on an SS. They found that the HTG is reinforced when the radiation parameter is improved. The numerical modeling of water-based
NF with radiation was addressed by Qayyum et al. [
34]. Patel and Singh [
35] investigated the influence of
non-linear radiative flow of micropolar NF through a non-linear heated SS. Lu et al. [
36] scrutinized the MHD flow of Carreau NF over a SS with non-linear radiation. They demonstrated that the TR parameter leads to fortifying the LNN. The influence of non-linear radiative flow of WNF on a SS was probed by Danish Lu et al. [
37]. They discovered that by enhancing the radiation parameter causes to decay the local Sherwood number. The MHD flow of Casson HNF past a SS with non-linear radiation was scrutinized by Abbas et al. [
38]. Their outcomes show that the temperature distribution escalates with the higher values of the non-linear radiation parameter. Eswaramoorthi et al. [
39] investigated 3D radiative flow of CNTs over a Riga plate. They concluded that the Bejan number heightens when improving the radiation parameter.
According to the aforementioned literature reviews, there is still a lack of research on the flow of a based HNF past a stretchable plate with convective heating, heat consumption/generation, and non-linear radiation effects. Our research outcomes are used in many numerous technical and industrial applications, like gas turbine rotors, crystal growing, drawing of films, lubrication processes, glider aircraft, power generation, etc.
Finally, the main objective of our investigations is as follows:
To deliberate the implications of the model’s design on the HNF flow through the stretchable plate.
How does the usage of HNF lead to affect the velocity and temperature of the fluid?
How is the HNF temperature impacted by heat generation/absorption and non- linear radiation?
How is the heat transfer mechanism improved when convective heating conditions are present?
4. Results and Discussion
The primary goal of this section is to delivers the effect of various emerging flow parameters on HNFV, HNFT, SFC and LNN.
Table 1 exhibits the thermal properties of aluminum, copper, aluminum oxide, and water.
Table 2 shows the mathematical expressions of thermal properties of the HNF. The SFC of water based
and
HNF for various values of
M,
,
,
,
and
was presented in
Table 3. It is perceived that the SFC diminishes when raises the values of
,
M,
and
and it improves when strengthening the quantity of
and
for both HNFs.
Table 4 presents the LNN for distinct values of
,
,
,
,
and
for both HNFs. It is viewed that the HTR raises when enriching the values of
,
,
, and
and the opposite effect attains for the larger size of
and
for both HNFs.
Table 5 exhibits the comparison of
with
to Devi and Devi [
6] for distinct values of
and are found in agreeable accord.
Figure 2a–d indicate the influence of
,
,
M, and
on the HNFV profile. It is believed that the HNFV slumps for the greater values of
,
, and
M and it aggravates when exalting the values of
. Physically, the greater amount of magnetic field creates a drag force called Lorentz force and this force affects the fluid motion. The repercussions of
,
,
and
on HNF temperature profile are depicted in
Figure 3a–d. It is noticed that the temperature profile grows when enhancing the values of
,
and
. In contrast, it declines for heightening the values of
. Physically, as the radiation parameter grows, the HNF’s ability to transfer energy increases, resulting in the growth of the HNFT and the expansion of the TBL.
Figure 4a,b shows the impact of
M,
and
on SFC profile. It is observed that the surface drag force suppresses when the values of
M,
and
rise. Physically, the improves Lorentz force when it raises the magnetic field, which is affected the movement of fluid flow and thus decreases the surface shear stress.
Figure 5a,b depicts the consequences of
,
and
on LNN. It is noticed that the HTG improves when enhancing values of
,
and
.
Figure 6a–d shows the destructing percentage of SFC for a distinct quantity of
and
. In the case of magnetic effect
, the maximum destructing percentage of SFC is
(8.01%),
(7.84%) and viscous fluid (7.72%) attains when
M changes from 0 to 0.3 and the minimum destructing percentage of SFC is
(3.91%),
(3.80%) and viscous fluid (3.81%) attains when
M change from 0.7 to 0.9. In the case of the suction parameter
, the maximum destructing percentage of SFC is
(16.82%),
(13.38%) and viscous fluid (16.02%) attains when
changes from 0 to 0.5 and minimum destructing percentage of SFC is
(14.59%),
(12.23%) and viscous fluid (14.08%) attains when
changes from 1.5 to 2. In the case of Forchheimer number
, the maximum destructing percentage of SFC is
(5.58%),
(5.56%) and viscous fluid (5.64%) attains when
changes from 0 to 0.4 and minimum destructing percentage of SFC is
(2.15%),
(2.15%) and viscous fluid (2.18%) attains when
changes from
and
. In the case of the porosity parameter (
), the maximum destructing percentage of SFC is
(1.92%),
(2.91%) and viscous fluid (2.14%) attains when modifies
from 0.2 to 0.3 and minimal destructing percentage of SFC is
(1.70%),
(2.45%) and viscous fluid (1.88%) attains when modifies
from 0.5 to 0.6.
The declining/developing percentage of LNN on
, and
are portrayed in
Figure 7a–d. In the case of heat generation/absorption
, the greatest declining percentage of LNN is
(1.49%),
(1.57%), and viscous fluid (1.14%) attains when Hg changes from −0.03 to 0, and the lowest declining percentage of LNN is
(0.53%),
(0.55%) and viscous fluid (0.40%) attains when
changes from 0.02 to 0.03. In the case of suction
, the greatest developing percentage of LNN is
(69.34%),
(63.87%), and viscous fluid (129.14%) attains when
changes from 0 to 0.5 and the lowest developing percentage of LNN is
(27.34%),
(26.69%) and viscous fluid (30.11%) attains when
changes from 1.5 to 2. In the case of the radiation parameter
, the greatest developing percentage of LNN is
(7.45%),
(7.84%) and viscous fluid (6.53%) attains when
changes from 0 to 2 and the lowest developing percentage of LNN is
(4.05%),
(4.23%) and viscous fluid (2.58%) attains when
changes from 6 to 8. In the case of the temperature ratio parameter (
), the greatest developing percentage of LNN is
(3.57%),
(2.81%) and viscous fluid (3.26%) attains when
changes from 0.8 to 1 and the lowest developing percentage of LNN is
(1.31%),
(1.02%) and viscous fluid (1.26%) attains when
changes from 0.0 to 0.4.